Análisis de la curva ROC en la evaluación de indicadores antropométricos

Evaluation of the Waist Weight-Circumference Index (WWCI) using Logistic Regression. Descriptive, prospective and cross-sectional study shows 1095 adults and older adults, aged between 20 and 96 years. Methods: variables: age, weight, size, Waist Circumference (WC), BMI, Waist-Size Index (WSI). Results: Similar BMI in both sexes; higher WC and WSI averages in a ≥ age of 65; major WWCI in group 20-59 years; WWCI risk rate (54.1%) higher in WC (44.7%) WSI (78.2%). WWSI significantly associated with BMI, WC and WSI (p<0.000); positive predictive value 0.92 and negative predictive value 0.70, indicate discriminatory capacity; Relative Risk, 1.92; Wald test statistic indicates statistical significance for the coefficients of risk probability equations; area under the ROC curve is 0.803 and 0.903 (P<0.000), high sensitivity and specificity. Conclusion: WWCI can be considered to evaluate overweight and obesity in adults, given its high discriminatory capacity.